Jing Bu

883 total citations
10 papers, 729 citations indexed

About

Jing Bu is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Physiology. According to data from OpenAlex, Jing Bu has authored 10 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cellular and Molecular Neuroscience, 3 papers in Cognitive Neuroscience and 3 papers in Physiology. Recurrent topics in Jing Bu's work include Alzheimer's disease research and treatments (3 papers), Memory and Neural Mechanisms (3 papers) and Nuclear Receptors and Signaling (2 papers). Jing Bu is often cited by papers focused on Alzheimer's disease research and treatments (3 papers), Memory and Neural Mechanisms (3 papers) and Nuclear Receptors and Signaling (2 papers). Jing Bu collaborates with scholars based in United States, Austria and Israel. Jing Bu's co-authors include Linrong Lu, Koichi S. Kobayashi, Miriam B. F. Werneck, Harvey Cantor, Mari L. Shinohara, Laurie H. Glimcher, Changiz Geula, Nicholas Nagykery, Chuang‐Kuo Wu and Shane Bruckner and has published in prestigious journals such as Nature Immunology, The Journal of Comparative Neurology and Acta Neuropathologica.

In The Last Decade

Jing Bu

9 papers receiving 723 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jing Bu United States	9	295	192	168	144	119	10	729
Richard D. Peavy United States	9	468 1.6×	312 1.6×	208 1.2×	258 1.8×	72 0.6×	10	915
Toni Paladino Canada	9	384 1.3×	330 1.7×	257 1.5×	197 1.4×	77 0.6×	17	1.0k
Athina Tzinia Greece	21	494 1.7×	82 0.4×	270 1.6×	187 1.3×	41 0.3×	35	1.2k
Mikiro Nawa Japan	15	363 1.2×	102 0.5×	330 2.0×	155 1.1×	213 1.8×	23	714
Eric Cho Hong Kong	16	258 0.9×	100 0.5×	83 0.5×	295 2.0×	29 0.2×	35	686
L Marinova-Mutafchieva United Kingdom	14	252 0.9×	294 1.5×	152 0.9×	186 1.3×	220 1.8×	17	975
Zhitao Han China	15	425 1.4×	89 0.5×	137 0.8×	139 1.0×	54 0.5×	30	822
Elena Di Daniel United Kingdom	16	483 1.6×	149 0.8×	157 0.9×	275 1.9×	19 0.2×	29	934
Gail Wagoner United States	9	265 0.9×	330 1.7×	103 0.6×	350 2.4×	30 0.3×	10	1.1k
Shin‐ichiro Sano Japan	16	330 1.1×	235 1.2×	130 0.8×	180 1.3×	25 0.2×	30	686

Countries citing papers authored by Jing Bu

Since Specialization

Citations

This map shows the geographic impact of Jing Bu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jing Bu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Bu more than expected).

Fields of papers citing papers by Jing Bu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jing Bu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jing Bu. The network helps show where Jing Bu may publish in the future.

Co-authorship network of co-authors of Jing Bu

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Bu. A scholar is included among the top collaborators of Jing Bu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jing Bu. Jing Bu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

Atanasov, Atanas G., Elke H. Heiß, Jing Bu, et al.. (2014). Discovery and characterization of honokiol from Cortex Magnoliae as a novel promising anti-diabetic lead. European Journal of Integrative Medicine. 6(1). 126–126.

Atanasov, Atanas G., Jing Bu, Matthias P. Kramer, et al.. (2013). Honokiol: A non-adipogenic PPARγ agonist from nature. Biochimica et Biophysica Acta (BBA) - General Subjects. 1830(10). 4813–4819. 106 indexed citations

Baker‐Nigh, Alaina, Alexander Nicholas, Rustam Yukhananov, et al.. (2011). Age-related loss of calcium buffering and selective neuronal vulnerability in Alzheimer’s disease. Acta Neuropathologica. 122(5). 565–576. 87 indexed citations

Griffin, Terrence J., Yong Hur, & Jing Bu. (2011). Basic Suture Techniques for Oral Mucosa. Clinical Advances in Periodontics. 1(3). 221–232. 10 indexed citations

Leung, Elaine, et al.. (2009). Microglia activation mediates fibrillar amyloid-β toxicity in the aged primate cortex. Neurobiology of Aging. 32(3). 387–397. 38 indexed citations

Shinohara, Mari L., Linrong Lu, Jing Bu, et al.. (2006). Osteopontin expression is essential for interferon-α production by plasmacytoid dendritic cells. Nature Immunology. 7(5). 498–506. 290 indexed citations

Leung, Elaine, et al.. (2004). Calbindin-D28K, parvalbumin and calretinin in primate lower motor neurons. Neuroreport. 15(3). 443–448. 25 indexed citations

Geula, Changiz, Nicholas Nagykery, Chuang‐Kuo Wu, & Jing Bu. (2003). Loss of Calbindin-D_28Kfrom Aging Human Cholinergic Basal Forebrain: Relation to Plaques and Tangles. Journal of Neuropathology & Experimental Neurology. 62(6). 605–616. 32 indexed citations

Bu, Jing, Shane Bruckner, Tomoko Sengoku, James W. Geddes, & Steven Estus. (2003). Glutamate regulates caveolin expression in rat hippocampal neurons. Journal of Neuroscience Research. 72(2). 185–190. 63 indexed citations

10.

Geula, Changiz, Jing Bu, Nicholas Nagykery, et al.. (2002). Loss of calbindin‐D_28k from aging human cholinergic basal forebrain: Relation to neuronal loss. The Journal of Comparative Neurology. 455(2). 249–259. 78 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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